DATASET

Crop calendar dataset compatible with satellite-derived land surface phenology

Collection: ASAP : Anomaly hot Spots of Agricultural Production 

Description

The national and sub-national crop calendars are based on FAO data and include only crops for which the original calendars match with the ASAP remote sensing based phenology. The dataset contains the start and end dekad (over the 36 dekads in a year) of the planting (sos_s and sos_e), the start and end dekad of growth (sos_e and eos_s) and the start and end dekad of harvest (eos_s and eos_e). The rest of the year is considered out of season.

Contact

Email
jrc-asap (at) ec.europa.eu

Contributors

  • Maria Dimou

How to cite

Dimou, Maria (2018): Crop calendar dataset compatible with satellite-derived land surface phenology. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-10112-10003

Keywords

ASAP crop calendars GAUL0 Agricultural monitoring GAUL1

Data access

Crop calendars at sub-national level
Download 
  • CSV file containg the range of planting, growing and harvesting season at sub-national level.To visualise the information in a GIS environment, use the field asap1_id and join with the spatial layer gaul1_asap (see Dataset Administrative boundaries).

Crop calendars at national level
Download 
  • CSV file containg the range of planting, growing and harvesting season at national level. To visualise the information in a GIS environment, use the field asap0_id and join with the spatial layer gaul0_asap (see Dataset Administrative boundaries).

Publications

Publication
Development of a national and sub-national crop calendars data set compatible with remote sensing derived land surface phenology
Dimou, M., Meroni, M. and Rembold, F., Development of a national and sub-national crop calendars data set compatible with remote sensing derived land surface phenology, EUR 29327 EN, Publications Office of the European Union, Luxembourg, 2018, ISBN 978-92-79-92902-1, doi:10.2760/25859, JRC112670.
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    Crop calendars are a fundamental component of agricultural production monitoring systems since they help analysts to focus on the seasons when different crop types are actually growing in the field. The Earth Observation based early warning system ASAP (Anomaly hot Spots of Agricultural Production) uses land surface phenology (LSP) metrics as proxy for crop calendars and applies parameters, such as the start and end of the season (SOS and EOS respectively) to define the period of active agricultural vegetation growth at pixel level. However, such information is not crop specific and it remains therefore relevant to use crop calendars from independent sources providing crop specific key phenological timings, such as sowing, growing and harvesting. Several institutions, including FAO and USDA make available crop calendars at the national level, which are widely used for agricultural monitoring. The LSP derived SOS and EOS metrics can be associated with sowing and harvesting from such crop calendars. This report describes a method for the attribution of each growing season derived from LSP to a crop type listed in existing crop calendars. Based on a set of rules, we compare the growing seasons derived from LSP with the timings of the crop calendars, and select those crops where a match between LSP and crop calendar information is found. Agricultural statistics, including harvested area and production, are used in order to verify the correct identification and relevance of crop types by country. The method also allows to downscale the existing national level crop calendars to the sub-national level. It therefore makes available sub-national level crop calendars, which are highly valuable for crop monitoring at that scale. The resulting crop calendars are available in the ASAP download section: https://mars.jrc.ec.europa.eu/asap/download.php

Publication
ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis

Geographic areas

World

Additional information

Published by
European Commission, Joint Research Centre
Created date
2018-12-14
Modified date
2018-12-20
Issued date
2018-09-26
Landing page
https://mars.jrc.ec.europa.eu/asap/download.php 
Language(s)
English
Data theme(s)
Agriculture, fisheries, forestry and food, Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/jrc-10112-10003
Popularity